319 search results - page 20 / 64 » Convergence rates of consensus algorithms in stochastic netw... |
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iterat...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Offline handwriting recognition (OHR) is an extremely challenging task because of many factors including variations in writing style, writing device and material, and noise in the ...
GLOBECOM
2007
IEEE
15 years 6 months ago
2007
IEEE
— Average transmission rate and rate oscillation are two important performance metrics for most wireless services. Both are often needed to be optimized in multi-user scheduling ...
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Voted
AE
2005
Springer
15 years 5 months ago
2005
Springer
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...